Created
Oct 9, 2025 9:15 PM
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Here are the best free places to practice pandas with hands-on exercises and worked solutions, plus a couple of structured courses to build mastery quickly.
Top exercise sites
- w3resource Pandas Exercises: 3,000+ problems across Series, DataFrame, indexing, groupby, joins, time series, cleaning, plotting, Excel/SQL, each with solutions and explanations.
- pandas_exercises (GitHub repo): curated, real-data problem sets by topic with “instructions,” “solutions without code,” and “solutions with code,” ideal for stepwise learning and self-checking.
Pandas Custom Functions Exercises - Apply, Map, and Applymap
Learn how to use Pandas custom functions with apply(), map(), and applymap() for element-wise, row-wise, and column-wise operations with hands-on exercises and solutions.
www.w3resource.com
GitHub - guipsamora/pandas_exercises: Practice your pandas skills!
Practice your pandas skills! Contribute to guipsamora/pandas_exercises development by creating an account on GitHub.
github.com
- MachineLearningPlus “101 Pandas Exercises”: progressive, interview-style practice with concise solutions to build speed and fluency.
Structured free courses with practice
- Kaggle Learn Pandas: short, interactive lessons with auto-graded exercises; great for guided, practical drills and immediate feedback.
- W3Schools Pandas Exercises: bite-sized quizzes and fill-in exercises mapped to tutorial sections; quick checks for fundamentals and syntax recall.
Extra practice and datasets
- Kaggle “Pandas 24 useful exercises with solutions”: compact notebook of practical tasks with answers to reinforce common patterns.
- Kaggle “Pandas Practice Dataset” collection: ready-to-use data to practice loading, cleaning, joining, and analysis with pandas in notebooks.
- Python In Practice Pandas exercises: notebook-style prompts spanning DataFrame creation, loading CSV/Sheets, and transformations for applied learning.
Free book-style resources
- Pandas official PDF docs: comprehensive reference and user guide; pair with the exercises above to look up idioms and edge cases.
- “Pandas for Everyone” sample chapters (Pearson): approachable walkthroughs on DataFrame/Series, cleaning, combining, plotting—use as reading plus practice mix.
Project-based practice
- 12 free projects to practice Python and pandas: real-world, end-to-end tasks sorted by difficulty to translate skills into portfolio pieces.
- YouTube walkthrough of 100 pandas puzzles: work through problems from easy to hard with guided solutions to learn techniques and reasoning patterns.
Recommended study path
- Start with Kaggle Learn Pandas for a fast baseline and interactive checks, then do MachineLearningPlus “101 Exercises” to internalize core transforms.
- Move to w3resource for deeper coverage by topic, and use the pandas_exercises repo to simulate real-data tasks with stepwise solutions when stuck.
- Supplement with the official docs or the free “Pandas for Everyone” sample when encountering new APIs, then lock skills with a small Kaggle project or the 12-project list.
Direct links to begin
- Kaggle Learn Pandas (interactive).
- w3resource Pandas Exercises (solutions included).
- pandas_exercises GitHub (instructions + solutions).
- 101 Pandas Exercises (with answers).
- Kaggle notebook: 24 exercises with solutions.